Sandhu Manjinder S, Waterworth Dawn M, Debenham Sally L, Wheeler Eleanor, Papadakis Konstantinos, Zhao Jing Hua, Song Kijoung, Yuan Xin, Johnson Toby, Ashford Sofie, Inouye Michael, Luben Robert, Sims Matthew, Hadley David, McArdle Wendy, Barter Philip, Kesäniemi Y Antero, Mahley Robert W, McPherson Ruth, Grundy Scott M, Bingham Sheila A, Khaw Kay-Tee, Loos Ruth J F, Waeber Gérard, Barroso Inês, Strachan David P, Deloukas Panagiotis, Vollenweider Peter, Wareham Nicholas J, Mooser Vincent
Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK.
Lancet. 2008 Feb 9;371(9611):483-91. doi: 10.1016/S0140-6736(08)60208-1.
LDL cholesterol has a causal role in the development of cardiovascular disease. Improved understanding of the biological mechanisms that underlie the metabolism and regulation of LDL cholesterol might help to identify novel therapeutic targets. We therefore did a genome-wide association study of LDL-cholesterol concentrations.
We used genome-wide association data from up to 11,685 participants with measures of circulating LDL-cholesterol concentrations across five studies, including data for 293 461 autosomal single nucleotide polymorphisms (SNPs) with a minor allele frequency of 5% or more that passed our quality control criteria. We also used data from a second genome-wide array in up to 4337 participants from three of these five studies, with data for 290,140 SNPs. We did replication studies in two independent populations consisting of up to 4979 participants. Statistical approaches, including meta-analysis and linkage disequilibrium plots, were used to refine association signals; we analysed pooled data from all seven populations to determine the effect of each SNP on variations in circulating LDL-cholesterol concentrations.
In our initial scan, we found two SNPs (rs599839 [p=1.7x10(-15)] and rs4970834 [p=3.0x10(-11)]) that showed genome-wide statistical association with LDL cholesterol at chromosomal locus 1p13.3. The second genome screen found a third statistically associated SNP at the same locus (rs646776 [p=4.3x10(-9)]). Meta-analysis of data from all studies showed an association of SNPs rs599839 (combined p=1.2x10(-33)) and rs646776 (p=4.8x10(-20)) with LDL-cholesterol concentrations. SNPs rs599839 and rs646776 both explained around 1% of the variation in circulating LDL-cholesterol concentrations and were associated with about 15% of an SD change in LDL cholesterol per allele, assuming an SD of 1 mmol/L.
We found evidence for a novel locus for LDL cholesterol on chromosome 1p13.3. These results potentially provide insight into the biological mechanisms that underlie the regulation of LDL cholesterol and might help in the discovery of novel therapeutic targets for cardiovascular disease.
低密度脂蛋白胆固醇在心血管疾病的发生中起因果作用。更好地理解低密度脂蛋白胆固醇代谢和调节的生物学机制可能有助于确定新的治疗靶点。因此,我们开展了一项关于低密度脂蛋白胆固醇浓度的全基因组关联研究。
我们使用了来自五项研究中多达11685名参与者的全基因组关联数据,这些研究测量了循环低密度脂蛋白胆固醇浓度,包括293461个次要等位基因频率为5%或更高且通过我们质量控制标准的常染色体单核苷酸多态性(SNP)的数据。我们还使用了来自这五项研究中三项研究的多达4337名参与者的第二个全基因组阵列的数据,其中有290140个SNP的数据。我们在两个分别由多达4979名参与者组成的独立人群中进行了重复研究。使用包括荟萃分析和连锁不平衡图在内的统计方法来优化关联信号;我们分析了所有七个群体的汇总数据,以确定每个SNP对循环低密度脂蛋白胆固醇浓度变化的影响。
在我们的初始扫描中,我们发现两个SNP(rs599839 [p = 1.7×10⁻¹⁵] 和rs4970834 [p = 3.0×10⁻¹¹])在染色体位点1p13.3处与低密度脂蛋白胆固醇呈现全基因组统计学关联。第二次全基因组筛查在同一基因座发现了第三个统计学关联的SNP(rs646776 [p = 4.3×10⁻⁹])。对所有研究数据的荟萃分析显示,SNP rs599839(合并p = 1.2×10⁻³³)和rs646776(p = 4.8×10⁻²⁰)与低密度脂蛋白胆固醇浓度相关。假设标准差为1 mmol/L,SNP rs599839和rs646776均解释了循环低密度脂蛋白胆固醇浓度约1%的变异,并且每个等位基因与低密度脂蛋白胆固醇约15%的标准差变化相关。
我们发现了染色体1p13.3上一个新的低密度脂蛋白胆固醇基因座的证据。这些结果可能为低密度脂蛋白胆固醇调节的生物学机制提供见解,并可能有助于发现心血管疾病的新治疗靶点。